多模态信息融合

SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather

Edoardo Palladin, Roland Dietze, Praveen Narayanan, Mario Bijelic, Felix Heide

机构 * Torc Robotics（Torc机器人公司） ； University of Stuttgart（斯图加特大学） ； Princeton University（普林斯顿大学） 纠错

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title)；sensor fusion(abstract)；multi-sensor fusion(abstract)；分类 cs.CV

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities

Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

专题命中 机器人多传感器融合 ：sensor fusion(abstract)

Comments Accepted by NDSS 2026

A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension

Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Umang Jain, Shubhi Bansal, Nagendra Kumar

机构 * Indian Institute of Technology Indore（印度印度理工学院Indore） ； Brown University（布朗大学） 纠错

专题命中 音视频/视觉语言融合 ：multimodal fusion(abstract)；分类 cs.CV；information fusion(comments)

Comments Published in Information Fusion

Cross-Attention Multimodal Fusion for Breast Cancer Diagnosis: Integrating Mammography and Clinical Data with Explainability

Muhaisin Tiyumba Nantogmah, Abdul-Barik Alhassan, Salamudeen Alhassan

专题命中 融合架构与评测 ：multimodal fusion(title)；分类 cs.CV、eess.IV

Comments 11 pages, 9 figures

Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs

Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng

机构 * School of Computer Engineering and Science, Shanghai University（上海大学计算机工程与科学学院） 纠错

专题命中 融合架构与评测 ：multimodal fusion(abstract)

Journal ref https://aclanthology.org/2025.acl-long.109/